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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of Valarqvin/ヴァラルクビン/凛视 (Arknights)
This is the dataset of Valarqvin/ヴァラルクビン/凛视 (Arknights), containing 34 images and their tags.
The core tags of this character are `black_hair, blue_eyes, earrings, horns, long_hair, pointy_ears, parted_bangs, hair_ornament, hair_flower, mole, mole_under_mouth, very_long_hair, facial_mark`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description | Images-others | Images-head |
|:-----------------|---------:|:-----------|:---------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|:----------------|:--------------|
| raw | 34 | 100.26 MiB | [Download](https://huggingface.co/datasets/CyberHarem/valarqvin_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 74 | 137.69 MiB | [Download](https://huggingface.co/datasets/CyberHarem/valarqvin_arknights/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 42 | 32 |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/valarqvin_arknights',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 23 |  |  |  |  |  | 1girl, closed_mouth, jewelry, looking_at_viewer, solo, forehead_mark, upper_body, collared_shirt, white_flower, white_shirt, smile, holding, long_sleeves, multicolored_hair |
| 1 | 8 |  |  |  |  |  | 1girl, black_pantyhose, dress, holding_staff, jewelry, long_sleeves, looking_at_viewer, solo, black_footwear, boots, full_body, outdoors, shirt, white_flower, belt_pouch, closed_mouth, standing, tree |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | closed_mouth | jewelry | looking_at_viewer | solo | forehead_mark | upper_body | collared_shirt | white_flower | white_shirt | smile | holding | long_sleeves | multicolored_hair | black_pantyhose | dress | holding_staff | black_footwear | boots | full_body | outdoors | shirt | belt_pouch | standing | tree |
|----:|----------:|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:--------|:---------------|:----------|:--------------------|:-------|:----------------|:-------------|:-----------------|:---------------|:--------------|:--------|:----------|:---------------|:--------------------|:------------------|:--------|:----------------|:-----------------|:--------|:------------|:-----------|:--------|:-------------|:-----------|:-------|
| 0 | 23 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | |
| 1 | 8 |  |  |  |  |  | X | X | X | X | X | | | | X | | | | X | | X | X | X | X | X | X | X | X | X | X | X |
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